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330.619.01
Psychiatric Genomics

Location
East Baltimore
Term
4th Term
Department
Mental Health
Credit(s)
3
Academic Year
2018 - 2019
Instruction Method
TBD
Class Time(s)
M, W, 10:30 - 11:50am
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
Yes
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Year
Description
Addresses the rapidly changing landscape of the study of complex genetics diseases. Students explore the current state of the quantitative issues in complex disease genetics, so that they can translate their experiences into research practice. Analyzes genome-wide association scans, epigenetics, and next-generation sequencing, as well as approaches to power calculation, including the use of simulation. Students study the current literature as well as examples from real data sets. In addition to learning the analytic techniques, students also become familiar with the assumptions and limitations of these approaches.
Learning Objectives
Upon successfully completing this course, students will be able to:
  1. Analyze data from genome-wide or candidate methylation studies
  2. Perform systems-based and polygenic analyses from genome-wide association data
  3. Perform genetic association studies using data generated next generation sequencing
  4. Perform power calculations for genetic association studies
  5. Apply simulation-based approaches to calculate statistical power or empirical significance to genetic studies